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About

About

I hold a Master degree in Bioengineering with specialization in Biomedical Engineering from Faculty of Engineering of the University of Porto, Portugal. I landed a thesis proposal where I had to develop an autonomous robotic system with the ability to reproduce repetitive tasks in a lab environment. During the degree, the passion for applied robotics emerged, so I decided to pursue it in order to integrate and further improve the knowledge in areas such as mechanics, electronics, computer science and biomedics. I joined the CRIIS group which belongs to INESC TEC, in September 2016 as a R&D engineer with responsibilities in developing new robotic solutions to handle industrial problems. My main activities include system mechanical modelation, electronics and software development.

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Details

Details

019
Publications

2022

A kinesthetic teaching approach for automating micropipetting repetitive tasks

Authors
Rocha, C; Dias, J; Moreira, AP; Veiga, G; Costa, P;

Publication
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Abstract

2022

Gerber File Parsing for Conversion to Bitmap Image–The VINCI7D Case Study

Authors
Sousa, RB; Rocha, C; Mendonca, HS; Moreira, AP; Silva, MF;

Publication
IEEE ACCESS

Abstract

2022

Data Matrix Based Low Cost Autonomous Detection of Medicine Packages

Authors
Lima, J; Rocha, C; Rocha, L; Costa, P;

Publication
APPLIED SCIENCES-BASEL

Abstract
Counterfeit medicine is still a crucial problem for healthcare systems, having a huge impact in worldwide health and economy. Medicine packages can be traced from the moment of their production until they are delivered to the costumers through the use of Data Matrix codes, unique identifiers that can validate their authenticity. Currently, many practitioners at hospital pharmacies have to manually scan such codes one by one, a very repetitive and burdensome task. In this paper, a system which can simultaneously scan multiple Data Matrix codes and autonomously introduce them into an authentication database is proposed for the Hospital Pharmacy of the Centro Hospitalar de Vila Nova de Gaia/Espinho, E.P.E. Relevant features are its low cost and its seamless integration in their infrastructure. The results of the experiments were encouraging, and with upgrades such as real-time feedback of the code's validation and increased robustness of the hardware system, it is expected that the system can be used as a real support to the pharmacists.

2021

Searching the Optimal Parameters of a 3D Scanner Through Particle Swarm Optimization

Authors
Braun J.; Lima J.; Pereira A.I.; Rocha C.; Costa P.;

Publication
Communications in Computer and Information Science

Abstract

2021

Low-cost SARS-CoV-2 vaccine homogenization system for Pfizer-BioNTech covid-19 vials

Authors
Lima, J; Rocha, L; Rocha, C; Costa, P;

Publication
IAES International Journal of Robotics and Automation (IJRA)

Abstract
<p>The current SARS-CoV-2 pandemic has been affecting all sectors worldwide, and efforts have been targeting the enhancement of people’s health and labour conditions of collaborators belonging to healthcare institutions. The recent vaccines emerging against covid-19 are seen as a solution to address the problem that has already killed up to two million people. The preparation of the Pfizer-BioNTech covid-19 vaccine requires a specific manipulation before its administration. A correct homogenization with saline solution is needed and, therefore, a manual process with a predefined protocol should be accomplished. This action can endanger the operators’ ergonomics due to the repetitive movement of the process. This paper proposes a low-cost prototype incorporating an arduino based embedded system actuating a servomotor to perform an autonomous vials’ homogenization allowing to redirect these healthcare workers to other tasks. Moreover, a contactless start order process was implemented to avoid contact with the operator and, consequently, the contamination. The prototype was successfully tested and recognised, and is being applied during the preparation of the covid-19 vaccines at the hospital pharmacy of <em>Centro Hospitalar de Vila Nova de Gaia/Espinho</em>, <em>E.P.E.</em>, Portugal. It can be easily replicated since the source files to assemble it are provided by the authors.</p>